Program Information

US Guidance for RT Interventions

D Fontanarosa

K Ding

D Hristov

D Fontanarosa¹*, K Ding²*, D Hristov³*, (1) School of Clinical Sciences, Queensland University of Technology, Brisbane, Queensland, (2) Johns Hopkins University, Baltimore, MD, (3) Stanford University School of Medicine, Palo Alto, CA

Presentations

1:45 PM : Ultrasound as a quantitative image guided modality in radiotherapy - D Fontanarosa, Presenting Author
2:10 PM : Ultrasound guided radiotherapy for pancreatic cancer - K Ding, Presenting Author
2:35 PM : US perspectives in radiotherapy: robotic, functional, and molecular image guidance - D Hristov, Presenting Author

MO-DE-708-0 (Monday, July 31, 2017) 1:45 PM - 3:45 PM Room: 708

Ultrasound offers safe, real-time, non-ionizing imaging that is widely used in cancer diagnosis and interventions. Yet its use as an imaging tool in radiation therapy has been limited. This panel will review the past and current challenges for anatomical ultrasound guidance in radiation therapy, and summarize recent research efforts to address these challenges through the merger of 3D imaging, robotics, and advanced visualization. The panelists will discuss possibilities beyond anatomical guidance with US, and illustrate these with examples from ongoing pilot studies. The issues traditionally preventing ultrasound imaging from being as widespread as it deserves for RT applications (probe pressure induced internal displacements, speed of sound errors, image quality, and operator dependence) will be presented and solutions are proposed. In the final panel presentation, a novel configuration to place ultrasound probe during pancreas radiotherapy for intra-fraction monitoring is evaluated.

Learning Objectives:
1. Understand challenges for ultrasound guidance in radiation therapy.
2. Recognize the utility of merging ultrasound imaging with robotics for the purposes of image guidance.
3. Identify potential novel RT applications of ultrasound beyond anatomical guidance.
4. Understand how ultrasound imaging can be an effective tool for image guidance in radiation therapy if its quantitative aspects are properly taken into account

Handouts

• 127-38200-418554-126298.pdf (D Fontanarosa)

• 127-38201-418554-126241-1017745994.pdf (K Ding)

• 127-38202-418554-126418-214899449.pdf (D Hristov)

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